Commercial Case 32(1) - Regression Analysis r 0.633 r...

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Regression Analysis r² 0.633 n 96 r -0.796 k 1 Std. Error 14.378 Dep. Var. DAYS ANOVA table Source SS df MS F p-value Regression 33,562.7604 1 33,562.7604 162.34 3.41E-22 Residual 19,433.6458 94 206.7409 Total 52,996.4063 95 Regression output confidence interval variables coefficients std. error t (df=94) p-value 95% lower 95% upper Intercept 68.4792 2.0754 32.996 1.75E-53 64.3585 72.5998 TYPE -37.3958 2.9350 -12.741 3.41E-22 -43.2233 -31.5683 Predicted values for: DAYS 95% Confidence Interval 95% Prediction Interval TYPE Predicted lower upper lower upper Leverage 0 68.479 64.358 72.600 39.634 97.324 0.021
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DAYS BILL TYPE Variables: 41 215 1 DAYS = the number of days to collect the payment 60 205 0 BILL = amount of the overdue bill 86 79 0 TYPE = 1 for residential accounts and 0 for commercial accounts 81 97 0 37 201 1 52 302 1 60 197 0 47 288 0 26 150 1 71 158 0 83 98 0 55
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This note was uploaded on 03/26/2012 for the course STATISTIC GM533 taught by Professor Henry during the Fall '10 term at Keller Graduate School of Management.

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Commercial Case 32(1) - Regression Analysis r 0.633 r...

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